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20182021
most citedDesign Challenges and Misconceptions in Neural Sequence Labeling

156 citations · 199 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CL2021★ 3 cited

Attention Guided Dialogue State Tracking with Sparse Supervision

Shuailong Liang, Lahari Poddar, Gyuri Szarvas

Existing approaches to Dialogue State Tracking (DST) rely on turn level dialogue state annotations, which are expensive to acquire in large scale. In call centers, for tasks like m…

cs.CL2020★ 2 cited

SemEval-2020 Task 4: Commonsense Validation and Explanation

Cunxiang Wang, Shuailong Liang, Yili Jin +3

In this paper, we present SemEval-2020 Task 4, Commonsense Validation and Explanation (ComVE), which includes three subtasks, aiming to evaluate whether a system can distinguish a…

cs.CL2019★ 2 cited

Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks

Shuailong Liang, Olivia Nicol, Yue Zhang

Blame games tend to follow major disruptions, be they financial crises, natural disasters or terrorist attacks. To study how the blame game evolves and shapes the dominant crisis n…

cs.CL2018★ 36 cited

Subword Encoding in Lattice LSTM for Chinese Word Segmentation

Jie Yang, Yue Zhang, Shuailong Liang

We investigate a lattice LSTM network for Chinese word segmentation (CWS) to utilize words or subwords. It integrates the character sequence features with all subsequences informat…

cs.CL2018★ 156 cited

Design Challenges and Misconceptions in Neural Sequence Labeling

Jie Yang, Shuailong Liang, Yue Zhang

We investigate the design challenges of constructing effective and efficient neural sequence labeling systems, by reproducing twelve neural sequence labeling models, which include…